1 to 25 of 1,291 Remote/Hybrid SQL Jobs in London

supporting a suite of business-critical applications and databases. This is an excellent opportunity for an Oracle specialist who enjoys working across PL/SQL & SQL while also having the opportunity to contribute to application development, enhancements, BAU support and technical improvements. Salary: £50,000 – £55,000 Location: London – Hybrid … days per week in the office) The Role You’ll become a key technical expert across Oracle PL/SQL and Oracle APEX, working closely with both technical teams and business stakeholders and be responsible for supporting and developing a suite of distributed Oracle 19c databases and the applications that ...

deployments. Troubleshoot production issues and improve platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions ...

quality, troubleshoot issues and continuously improve existing engineering processes and workflows. Required Skills Commercial experience in a Data Engineering or Data Developer role. Strong SQL and Python programming skills. Hands-on experience with Google BigQuery and Google Cloud Platform. Experience implementing cloud-based data solutions. Experience integrating Salesforce Marketing Cloud ...

data architecture, engineering, analytics and reporting. Experience working with cloud-based data platforms such as Azure, AWS or GCP . Strong technical knowledge of SQL and Python . Experience with modern data technologies and tooling such as Microsoft Fabric, Power BI, Snowflake, dbt, Airflow, Databricks or Looker . Experience designing ...

data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks ...

facilitate knowledge sharing within the wider team. Required Skills & Qualifications 3+ years of hands‐on experience in a data engineering role Strong proficiency in SQL and Python Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3) Experience in data warehousing, database design (e.g., star schema, snowflake schema ...

Modern data platforms: Databricks, Snowflake and cloud‐native data services Data architecture: Lakehouse, medallion, data mesh and domain‐oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise‐scale ETL/ELT, batch and streaming patterns ...

Modern data platforms: Databricks, Snowflake and cloud-native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise-scale ETL/ELT, batch and streaming patterns ...

planning. Essential Skills and Experience Required Proven experience designing, building and maintaining scalable data pipelines and cloud‐based data platforms in production environments. Advanced SQL expertise, including query optimisation, performance tuning and complex data transformations. Strong Python skills for data engineering, automation and system integrations. Hands‐on experience with Snowflake ...

role. Demonstrated knowledge of P&C insurance pricing concepts, including rate adequacy, loss development, rating factors, and exposure bases. Proficiency in data analysis tools — SQL, Python, R, or advanced Excel/VBA — for querying and analysing large insurance datasets. Experience working with actuarial or pricing datasets and familiarity with insurance ...

essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python . Experience with data engineering and pipeline technologies such as Apache Airflow and Spark . Experience working with cloud platforms, particularly ...

5+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment Hands-on experience with Databricks Lakehouse Platform Strong SQL skills and proficiency in Python Experience designing and deploying solutions in cloud environments Ability to quickly grasp diverse business domains and adapt technical solutions accordingly ...

priorities while collaborating closely with the wider coaching and commercial teams. Technical Skills Strong practical knowledge across several of the following areas: Excel SQL Python Power BI Tableau Data Modelling Cloud Platforms, including AWS, GCP or Azure AI and Generative AI Experience across Data Engineering, Data Science, BI, Data Warehousing ...

Data Scientists, Analysts, and Product teamsMentor junior data engineers and promote best practicesContribute to architectural decisions and strategic planningRequired Skills & ExperienceTechnical SkillsStrong proficiency in SQL and data modellingExcellent programming skills in Python, Scala, or JavaHands-on experience with distributed data frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise ...

master's degree is a plus. Proven experience in data engineering and analytics, with expertise in Power BI, dbt, Databricks, and Azure. Proficiency in SQL, Python, and data manipulation libraries and frameworks. Strong problem-solving skills and analytical thinking. Excellent communication skills with the ability to collaborate effectively with technical ...

/SKILLS & COMPETENCIES To be successful in this role, you will demonstrate: Technical Excellence: Advanced proficiency in geospatial platforms (ESRI, QGIS,). Experience with SQL & Excel for data manipulation and with data visualisation tools (e.g. PowerBI). Familiarity with Python, FME and cloud data platforms (e.g. Snowflake) Storytelling: Confidence building ...

Требования: 5+ Years of experience operating enterprise-scale, production-grade data platforms; Experience making architectural and prioritisation trade-offs across complex data ecosystems; Advanced SQL and analytical data modelling expertise; Experience building governed datasets for analytics, research, and decision-making; Strong background in modern analytics engineering, including dbt, testing, documentation ...

models. Experience with Power BI administration, workspace management, dataflows and deployment pipelines. Experience working with cloud and on‐premise data sources. Knowledge of Microsoft SQL Server, Azure Data Services and Azure Data Factory. Proven experience mentoring or technically leading BI Developers. Experience establishing development standards and governance processes. Strong stakeholder ...

project outcomes What You'll Bring 4+ years of data engineering experience, with at least 2 years hands-on across modern data platforms Strong SQL, data modelling, and query optimisation skills Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric Solid grounding in ETL/ELT pipelines and data ...

technical judgement, making architectural and prioritisation trade-offs across complex data ecosystems, including scalability, cost, governance, and long-term sustainability considerations. Advanced expertise in SQL and analytical data modelling, with sustained experience building high-quality, well-governed datasets used broadly across analytics, research, and decision-making functions. Strong background ...

data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data ...

operatesWhat skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisionsExcellent SQL skills and experience of applying analytical and statistical approaches to problem solvingProven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervisionExcellent ...

strategic asset Understanding of engineering platforms and data integration with engineering systems (Great to have skill) Advanced knowledge of data modelling tools, data lakes, SQL, and pipeline design Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders Proficient in Microsoft Fabric platform (Great ...

integration within data solutions and an understanding of AI governance. Experience with visualisation platforms such as Power BI, Tableau or Looker . Strong SQL and data engineering capabilities. Excellent communication and stakeholder management skills, with the ability to engage confidently with senior technical and business stakeholders. Why Join? This ...

answer business questions and generate actionable insights. Strong statistical and analytical skills. Advanced experience with R or a similar statistical programming language. Strong SQL skills and experience working with data warehouses. Experience developing dashboards and reporting, ideally using Tableau. Experience using Python for scripting, automation or deployment. Experience working with ...